What is FAIR infrastructure
To build a FAIR ecosystem, we need to consider the enabling infrastructure and services that act on the FAIR research objects.
The FAIRness level of infrastructure is related to the FAIRness of the data it stores or operates on; however, using a FAIR-enabling service in itself does not guarantee FAIR data. Researchers also need to consider how their actions affect the FAIRness of their datasets and which service functionalities are needed to support such FAIRifying actions. Interoperability, rich metadata, and standards compliance are seen as important factors for FAIR infrastructure; however, the impact of a FAIR service will be much more prominent if it also is user-friendly.
Finding and choosing the best FAIR service for a use case requires researchers to consider and weigh many different factors. To support the neuroscience community in this process, INCF has developed a portfolio of neuroscience infrastructures that have been assessed using criteria developed by the INCF Infrastructure Committee.